Manager, Business Intelligence & Data Engineering
London, Ontario, Canada; Ontario (Various), Ontario, Canada
StarTech.com
Join our dynamic team as the Manager, Business Intelligence & Data Engineering, reporting directly to the VP of Customer Analytics and Insights. In this pivotal role, you will spearhead BI and Data Engineering projects across the organization, driving our data strategy forward.
Your primary focus will be designing, delivering, and supporting data and reporting solutions that align with the organization’s business strategy and goals, maintaining and improving data quality, and fostering a culture of data, metrics, and reporting governance.
Additionally, you will proactively collaborate with senior business leaders to identify, recommend, develop, implement, and support analytics solutions that provide essential information tailored to their needs. You will also establish and manage effective governance practices to ensure that leaders and decision-makers can trust and maintain consistent metrics across the organization.
What you will be responsible for:
- Being the point of contact for Reporting and Data improvements for the organization.
- Understanding and documenting business requirements and translating them into deliverables.
- Implementing improvements to existing data models and creating new models.
- Leading Power BI reporting across the business by delivering actionable and intuitive reporting.
- Enabling functional teams by providing governance, support and best practices.
- Managing the collection, processing and storage of data received from third parties (POS, Inventory, website scrapes, Stock in the Channel, etc.).
- Providing leadership and mentoring/coaching data analytics integration team.
- Staying current with the Microsoft’s evolving BI technologies and supporting the team through learning and discovery phase of the new technologies.
Qualifications:
- Bachelor’s degree in a relevant field.
- Minimum of six (6) years of experience in Business Intelligence or Data Engineering, warehousing, architecture, planning and development.
- Minimum of three (3) years of experience directly managing and building high performing teams.
- Strong knowledge base on modern datalake house technologies (e.g. Microsoft Fabric, Databricks,etc.) and Azure data engineering tools (e.g. Azure Data Factory).
- Experience using Python for data engineering.
- Knowledge of Spark, Spark SQL, PySpark.
- Strong Power BI experience including development of data models, reports/dashboards and governing large-scale deployments.
- Proven experience in building partnerships across the organization with both IT and the business.
- Excellent verbal, written communication skills, and presentation skills.
- Self-motivated, ability to take direction and work independently.
- Ability to lead the team to accomplish goals on time and work well in a team environment.
Benefits & Perks:
- Comprehensive Benefit Plan and RRSP Matching
- Competitive Vacation Policy
- Fitness Subsidy
- Training and Development Program
- Paid Charity Day and Regular Company Fun Events
- com Product Discount
- Bonus Plan
About us
We are in the business of human-centered experiences starting with yours. We believe delivering on our promise of "hard-to-find, made easy" begins with an employee experience founded in opportunity, teamwork, empowerment, and curious minds always asking what if. Not only does our commitment to the exceptional deepen relationships with our partners and customers, it also ignites connection within our team.
Born and raised in London, Ontario, Canada and now taking on the world, we are a vibrant and growing tech company with a proven track-record of success. StarTech.com makes it easy for IT professionals around the globe to identify, find, get and use the hard-to-find connectivity parts they need to enable and enhance their technology solutions.
Operating in 26 countries globally, we are proud to be included as one of Canada's Best Managed Companies for 2023 and for the 13th consecutive year. In 2022, StarTech.com was proud to be included in Financial Post's FP500, a ranking of Canada's largest corporations based on revenue. We are honoured to be named by Kincentric in 2019 as one of Canada’s “Best Employers” as well as “one of Canada’s fastest growing companies” for a ninth year in a row by “Profit 500”.
StarTech.com is an Equal Opportunity Employer. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, StarTech.com will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform Human Resources of the nature of any accommodation(s) that you may require in respect of any materials or processes used to ensure your equal participation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Business Intelligence Data Analytics Databricks Data quality Data strategy Engineering Power BI PySpark Python Spark SQL
Perks/benefits: Career development Equity / stock options Salary bonus Team events
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